Pemodelan Prevalensi Malaria Di Papua Berserta Faktor Yang Mempengaruhinya Menggunakan Regresi Nonparametrik Spline

Hari, Fisty Aprila Tiara (2016) Pemodelan Prevalensi Malaria Di Papua Berserta Faktor Yang Mempengaruhinya Menggunakan Regresi Nonparametrik Spline. Diploma thesis, Institut Teknologi Sepuluh Nopember.

[img] Text
1313030075-Non_Degree_Thesis.pdf - Accepted Version

Download (1MB)
[img] Text
1313030075-Presentationpdf.pdf - Presentation

Download (960kB)

Abstract

Menurut Kementrian Kesehatan RI malaria merupakan penyakit menular yang menjadi perhatian global, termasuk di Indonesia. Penyakit ini masih merupakan masalah kesehatan masyarakat karena menimbulkan Kejadian Luar Biasa (KLB), berdampak luas terhadap kualitas hidup dan ekonomi, serta dapat mengakibatkan kematian. Papua merupakan provinsi dengan insiden dan prevalensi penyakit malaria tertinggi di Indonesia sehingga perlu adanya penelitian lanjut mengenai faktor-faktor yang mempengaruhi kejadian penyakit malaria. Regresi nonparametrik spline untuk memodelkan prevalensi malaria di Papua menghasilkan variabel-variabel yang signifikan terhadap prevalensi kejadian malaria anatara lain persentase rumah tangga menggunakan plafon kayu/tripleks, persentase rumah tangga menguras bak mandi seminggu sekali, persentase rumah tangga memakai air bersih (20-49,9 liter), persentase pengobatan malaria dengan mendapatkan obat ACT (Artemisinin-based Combination Therapy), dan persentase rumah tangga menggunakan tempat sampah terbuka. Regresi nonparametrik spline mempunyai nilai R2=95.62%. Hal ini berarti variabel-varaibel yang signifikan mampu menjelaskan variabilitas prevalensi kejadian malaria di Papua tahun 2013 sebesar 95.62%. ======================================================================================================================== According to the Health Ministry of Indonesia, malaria is one kind of infectious diseases that has become the world’s center of attention. This disease is a public health’s problem since it generates extreme incident, have huge impacts on economy and people’s life quality, and also can cause death. Papua is a province with the highest malaria’s incidents and prevalence in Indonesia, so it needs further research about the factors that influence malaria. Nonparametric spline regression to represent malaria’s prevalence in Papua produce significant variables towards the occurrence of malaria, those are households’ percentage in using triplex, households’ percentage in draining bath tubs once a week, households’ percentage in using clean water (20 – 49.9 liters), the percentage of malaria treatment by using ACT (Artemisinin-based Combination Therapy) and the households’ percentage in using opened trash cans. Nonparametric spline regression has the value of R2=95.62%. This means, those significant variables are able to explain the variability of malaria prevalence in Papua in 2013 as much as 95.62%.

Item Type: Thesis (Diploma)
Additional Information: RSE 519.536 Har p
Uncontrolled Keywords: Malaria, Papua, Regresi Nonparametrik Spline, Regresi Parametrik Linear Berganda
Subjects: Q Science > QA Mathematics > QA278.2 Regression Analysis
Divisions: Faculty of Mathematics and Science > Statistics > 49401-(D3) Diploma 3
Depositing User: ansi aflacha
Date Deposited: 08 Jan 2020 04:00
Last Modified: 08 Jan 2020 04:00
URI: http://repository.its.ac.id/id/eprint/72595

Actions (login required)

View Item View Item